M. ARIMOTO

1.0k citations
17 papers · 866 indexed · h-index 12

Impact in

Papers in

M. ARIMOTO

17 papers receiving 808 citations

Peers

M. ARIMOTO
Comparison fields: 5 of 57
  • Animal Science and Zoology 430
  • Immunology 693
  • Aquatic Science 194
  • Infectious Diseases 261
  • Microbiology 51
Replace J. Castric with:
J. Castric France
Corinne Torhy France
Tadashi Isshiki Japan
José G. Olveira Spain
R. K. Kelly Canada
M. Béarzotti France
P.E. McAllister United States
Zhengliang Ouyang China
Wi‐Sik Kim South Korea
B. L. Nicholson United States
M. ARIMOTO relative to J. Castric France J. Castric's profile →
Citations per field
00.5×1.5×1.8×
J. Castric · 1×
Citations per year

Countries citing papers authored by M. ARIMOTO

Since Specialization
Citations

This map shows the geographic impact of M. ARIMOTO's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. ARIMOTO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. ARIMOTO more than expected).

Fields of papers citing papers by M. ARIMOTO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. ARIMOTO. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. ARIMOTO. The network helps show where M. ARIMOTO may publish in the future.

Co-authors

The 25 scholars most cited alongside M. ARIMOTO, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. ARIMOTO Line = papers co-authored together M. ARIMOTO links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20242
2 20067
3 200413
4 200311
5 200375
6 200113
7 200180
8 200181
9
Isolation of viral haemorrhagic septicaemia virus (VHSV) from wild Japanese flounder, Paralichthys olivaceus.
200097
10 2000221
11 200016
12 199998
13 199453
14 199375
15
Detection of striped jack [Pseudocaranx dentex] nervous necrosis virus (SJNNV) by enzyme-linked immunosorbent assay (ELISA)
199214
16 19719
17 19701

About M. ARIMOTO

M. ARIMOTO is a scholar working on Animal Science and Zoology, Microbiology, Immunology, Aquatic Science and Physiology, having authored 17 papers that have together received 866 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (9 papers), Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (3 papers), Microbial infections and disease research (2 papers), Aquaculture Nutrition and Growth (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper), Advanced Drug Delivery Systems (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Animal Science and Zoology (430 citations), Immunology (693 citations), Aquatic Science (194 citations), Infectious Diseases (261 citations) and Microbiology (51 citations). M. ARIMOTO has collaborated with scholars based in Japan and Bangladesh. Frequent co-authors include Koichiro Mori, Tokinori Iwamoto, Toshihiro Nakai, Iwao Furusawa, Kiyokuni Muroga, T Nakai, Tatsuo NISHIZAWA, Shinji Tanaka, Ryo Takano and Kazuya Shimizu. Their work appears in journals such as Diseases of Aquatic Organisms, Journal of Fish Diseases, Journal of Fish Biology, Journal of Pharmacology and Experimental Therapeutics and Tetrahedron Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026